The goal of the subject is to teach the students modern methods how to model static and dynamical properties of the system. Students will learn neural network paradigm, theoretical background and practical implementation.
Student will be able to create artificial neural networks and realize computationally their learning and implementation.

Prerequisites

Static and dynamical properties description. Differential and difference equations solution. Basics of continuous- and discrete-time modelling of the processes. Basic knowledge of the computational system MATLAB/Simulink